Scientist, Data Science

We have an opportunity available for a Data Scientist to work in the field of cells, genomics and related areas. 

Responsibilities

• Generate insights and models from multi-omics datasets (using public and internal data) to understand patterns, trends and relationships within data to inform decision-making and solve problems.
• Design, develops and programs methods, processes, and systems to extract,  consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights.
• Build databases and is responsible for the curation of Data, including experimental data management. 
• Extracting knowledge, insights and predictions from data using statistical methods, machine learning and data visualization.
• Work with scientists to identify optimal ways to prepare, annotate, store and navigate their datasets, including data application design and improvement.
• Define and document best practices for capturing and entering experimental metadata, and educate scientists and collaborators about these standards.
• Build pipelines for quality control, processing and analysis of raw targeted and un-targeted datasets.
• Develops and codes software programs and leverages algorithms and methodologies being developed by the scientific community for use cases of relevance to Altos Labs.
• Stay current with and adopt emergent analytical methodologies, tools and applications to ensure fit-for-purpose and impactful approaches.
• Partner closely with the Lab scientists and researchers to identify opportunities for data and insight mining to accelerate research.
• Embed analyses and visualizations in automated reports.

• PhD in interdisciplinary quantitative science such as Biology, Chemistry, Computer Science, Physics, etc.
• 1 - 5 years (Scientist I/II) or 5+ years (Senior Scientist) years of relevant work experience in either an academic or industry setting.
• Working knowledge of cell biology and experience in large scale data analysis and statistical modeling on datasets like RNA-seq, ATAC-seq, protein network, pathways, etc.
• Proven track record of completed scientific projects as evidenced by publications and preprints.
• Strong breadth and expertise in Statistical analysis, machine learning, data visualization, programming (Python, R, etc.), data cleaning and data manipulation.
• Tools: Python, R, SQL, TensorFlow, Scikit-learn, Tableau, Power BI.
• Ability to generate high quality ideas and be self-driven to explore.
• Strong experience in programming and comfortable modifying existing code-base. Experience with Python, R data cleaning and data manipulation or other related scientific languages.
• Willing to work in a collaborative environment and share periodic updates across the company.

• Strong and demonstrable experience working in an AWS compute environment is a major advantage.
• Experience integrating prior knowledge from public databases (e.g., KEGG) into omics data analysis pipelines.

The salary range for San Francisco Bay Area, CA:

• Scientist I, Data Science: $165,750 - $224,250
• Scientist II, Data Science: $195,000 - $263,350
• Senior Scientist I, Data Science: $229,000 - $313,950

The salary range for San Diego, CA:

• Scientist I, Data Science: $150,450 - $203,550
• Scientist II, Data Science: $177,000 - $243,800
• Senior Scientist I, Data Science: $212,000 - $292,100

Exact compensation may vary based on skills, experience, and location.

For UK applicants, before submitting your application:

- Please click here to read the Altos Labs EU and UK Applicant Privacy Notice (bit.ly/eu_uk_privacy_notice)
- This Privacy Notice is not a contract, express or implied and it does not set terms or conditions of employment.

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